Triple
T19618927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Niantic |
E470942
|
entity |
| Predicate | subgroupOf |
P10
|
FINISHED |
| Object | Niantic people |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Niantic people | Statement: [Eastern Niantic, subgroupOf, Niantic people]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niantic people Context triple: [Eastern Niantic, subgroupOf, Niantic people]
-
A.
Niantic people
chosen
The Niantic people are an Indigenous Native American tribe of the Northeastern Woodlands, historically located in what is now coastal Rhode Island and Connecticut.
-
B.
Niantic
Niantic is an American software and game development company best known for creating the augmented reality mobile game Pokémon GO.
-
C.
Niantic
The Niantic are a Native American people of the Northeastern Woodlands, historically living along the southern New England coast near present-day Rhode Island and Connecticut.
-
D.
Pokémon GO
Pokémon GO is a mobile augmented reality game that lets players find, catch, and battle virtual Pokémon in real-world locations using their smartphones.
-
E.
Game Freak
Game Freak is a Japanese video game developer best known as the primary creator of the Pokémon franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e4570c81909fc4f9b871346337 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:43 p.m.